ArticleAmerican journal of infection control2021
Utilizing the electronic health records to create a syndromic staff surveillance system during the COVID-19 outbreak.
Article in American journal of infection control, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Education and Training Adaptations for Health Workers during the COVID-19 Pandemic: A Scoping Review of Lessons Learned and Innovations.Healthcare (Basel, Switzerland) · 2023Article
- Three-Dimensional Disease Outbreak Surveillance System in a Tertiary Hospital in Singapore: A Proof of Concept.Mayo Clinic proceedings. Digital health · 2023Article
- The role of community pharmacies in early detection of suspected COVID-19 cases in 2020: lessons from Dar es Salaam, Tanzania.BMJ global health · 2023Article
- Accelerated Digitalization of the Epidemiological Measures: Overcoming the Technological and Process Complexities of Establishing the EU Digital COVID Certificate in Slovenia.International journal of environmental research and public health · 2022Review
- Healthcare workers as a sentinel surveillance population in the early phase of the COVID-19 pandemic.Singapore medical journal · 2022Article
- Syndromic Surveillance Systems for Mass Gatherings: A Scoping Review.International journal of environmental research and public health · 2022Article
- Digital SARS-CoV-2 Detection Among Hospital Employees: Participatory Surveillance Study.JMIR public health and surveillance · 2021Article
- A Novel Computational Model for Detecting the Severity of Inflammation in Confirmed COVID-19 Patients Using Chest X-ray Images.Diagnostics (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesSince December 2019, COVID-19 has caused a worldwide pandemic and Singapore has seen escalating cases with community spread. Aggressive contact tracing and identification of suspects has helped to identify local community clusters, surveillance being the key to early intervention. Healthcare workers (HCWs) have contracted COVID-19 infection both at the workplace and community. We aimed to create a prototype staff surveillance system for the detection of acute respiratory infection (ARI) clusters amongst our HCWs and describe its effectiveness.
methodsA prototypical surveillance system was built on existing electronic health record infrastructure.
resultsOver a 10-week period, we investigated 10 ARI clusters amongst 7 departments. One of the ARI clusters was later determined to be related to COVID-19 infection. We demonstrate the feasibility of syndromic surveillance to detect ARI clusters during the COVID-19 outbreak.
conclusionThe use of syndromic surveillance to detect ARI clusters amongst HCWs in the COVID-19 pandemic may enable early case detection and prevent onward transmission. It could be an important tool in infection prevention within healthcare institutions.
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